A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

A biopotential can be measured with high accuracy without the electrodes coming into direct contact with the skin and without being affected by any motion artifact. The present invention comprises a first lead which detects a biopotential containing noise components, a second lead which is electrically isolated from the first lead and detects noise components, and a differential amplifier circuit which is input with a first signal output from the first lead and a second signal output from the second lead, and which amplifies and outputs a difference between the first signal and the second signal, wherein a value of an input impedance on the second signal side of the differential amplifier circuit is set so that the noise components detected from the second lead will have a frequency that is higher than a frequency spectrum of the biopotential.

A biopotential can be measured with high accuracy without the electrodes coming into direct contact with the skin and without being affected by any motion artifact. The present invention comprises a first lead which detects a biopotential containing noise components, a second lead which is electrically isolated from the first lead and detects noise components, and a differential amplifier circuit which is input with a first signal output from the first lead and a second signal output from the second lead, and which amplifies and outputs a difference between the first signal and the second signal, wherein a value of an input impedance on the second signal side of the differential amplifier circuit is set so that the noise components detected from the second lead will have a frequency that is higher than a frequency spectrum of the biopotential.

The present invention relates to an ear-wearable device (100) comprising: a plurality of neuro-buds (100a), each neuro-bud (100a) comprising: a housing (102), a hub (104) disposed in the housing (102), a plurality of springs (2, 2a-2h) disposed on the hub (104), and a biosensor electrode (1, 1a-1h) disposed on each spring (2, 2a-2h) and adapted to be in contact with an ear canal for detecting at least one physiological parameter of a user, wherein the plurality of springs (2, 2a-2h) are adapted to expand for extending the biosensor electrode (1, 1a-1h) to establish contact with the ear canal and to contract for retracting the biosensor electrode (1, 1a-1h) to break the contact; and a controller (100, 300) in communication with the biosensor electrode (1, 1a-1h) and adapted to: receive at least one value of the at least one physiological parameter detected by the biosensor electrode (1, 1a-1h), and generate health insights of the user based on the at least one physiological parameter.

Disclosed is a biosensor arrangement structure, including: a plurality of biosensors that is disposed in a seat for supporting an occupant and that measures a health condition of the occupant. The seat includes: a seat body for holding the occupant; and an auxiliary supporter for supporting a body part of the occupant except for a torso and thighs. At least one of the plurality of biosensors is disposed at the auxiliary supporter.

A method (10) that encodes electrode locations to a mean scalp mesh for adaptation to subsequent image scans.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

A biosignal-based avatar control system according to an embodiment of the present disclosure includes an avatar generating unit that generates a user's avatar in a virtual reality environment, a biosignal measuring unit that measures the user's biosignal using a sensor, a command determining unit that determines the user's command based on the measured biosignal, an avatar control unit that controls the avatar to perform the command, an output unit that outputs an image of the avatar in real-time, and a protocol generating unit for generating a protocol that provides predetermined tasks, and determines if the avatar performed the predetermined tasks. According to an embodiment of the present disclosure, it is possible to provide feedback in real-time by understanding the user's intention through analysis of biosignals and controlling the user's avatar in a virtual reality environment, thereby improving the user's brain function and motor function.